Filtering of color seal on bank notes based on re-segmentation
Jingjin Ji · Modern Electronics Technique · 2014
As a result of the existence of color seal,traditional seal filtering algorithms usually weak the characters covered in the Bank Notes,and reduce the recognition accuracy of the notes. Previous methods are hard to meet practical needs. According to this,an algorithm based on color image second-segmentation algorithm is presented. The algorithm can realize efficient filtering of the color seal. It separates the background of notes and color seal first,and then conducts image second-segmentation based on the color analysis of the seal to judge the result and extract the covered characters. According to the mean gray value of bank note background,the covered character is enhanced adaptively and the area disturbed by the seal is filtered,so the recognition rate of the bank notes is improved. The experimental results show that the recognition accuracy is increased by about 10% by the method in comparison with the existing methods.